openevidence-migration-deep-dive

v2026.09.24

Migrate saved Deep Consult practices to the current Snow model workflow while revalidating output and governance. Use when working with OpenEvidence in a healthcare organization. Trigger with "openevidence migration deep dive", "OpenEvidence migration", or a matching workflow request.

GitHub
安装命令
npx skhub add jeremylongshore/openevidence-migration-deep-dive
Markdown
SKILL.md

OpenEvidence Deep Consult to Snow Migration

Overview

Translate legacy Deep Consult use cases into Snow, which the official guide identifies as its replacement. Keep inputs minimal, separate observed facts from assumptions, and leave consequential decisions with the named accountable owner.

Prerequisites

  • A clearly bounded workflow, accountable clinical owner, and organizational policy
  • Current first-party OpenEvidence documentation and applicable institution agreements
  • Synthetic or properly authorized minimum-necessary data

Tool Discipline

Use Read, Glob, and Grep to inspect supplied policies, plans, and evidence. Use WebFetch only for current first-party OpenEvidence documentation. Use Write or Edit only when the user requests a named deliverable with an approved destination. Never expose credentials, PHI, recordings, or unrestricted environment output.

Current Contract

  • The current guide says Deep Consult has been replaced by OpenEvidence Snow in the model selector.
  • Legacy Deep Consult examples remain representative, but do not establish current performance, quota, or timing.
  • Migration must revalidate prompts, structure, citations, review, data handling, and user training.

Authentication

Use only the official OpenEvidence web/mobile sign-in or an institution-approved access path. Do not invent API keys, OAuth clients, SDK credentials, service accounts, or private endpoints. Never ask a user to reveal a password, session token, cookie, or recovery code.

Instructions

  1. Inventory legacy Deep Consult prompts, reports, user groups, downstream decisions, and sensitive-data handling.
  2. Classify each workflow as retire, move to ordinary Ask, or pilot in Snow based on complexity and value.
  3. Read the current Models and Deep Consult guidance; remove obsolete navigation and invented quota assumptions.
  4. Run synthetic paired evaluations and compare coverage, citation traceability, uncertainty, format, and reviewer effort.
  5. Update training, templates, governance, and support documentation with a rollback path.
  6. Obtain clinical and operational sign-off before retiring the legacy procedure.

Approval Boundaries

Do not create or share accounts; change access, roles, agreements, consent, retention, or security settings; enter PHI; record a conversation; copy content into another system; contact a patient; make a diagnosis or treatment decision; submit billing; transmit a support packet; run a production pilot; or represent vendor capabilities without explicit approval from the accountable owner. A qualified professional remains responsible for clinical decisions.

Output

Return scope, current first-party evidence and date, data classification, workflow or findings, citations reviewed, assumptions rejected, clinical and governance owners, approval state, unresolved risk, and the exact next action. Redact patient and credential data.

Error Handling

ConditionResponse
Snow unavailableConfirm account entitlement/support; do not fall back to a guessed endpoint.
Output structure changesUpdate the review rubric before production use.
Legacy prompt contains PHIDo not reuse it in testing; construct a synthetic equivalent.

Examples

This compact example shows the minimum reviewable handoff; adapt fields to the approved workflow without adding sensitive data.

Input:

legacy-workflows=8; target=Snow; test-data=synthetic; reviewers=2

Expected handoff:

migrate=5; Ask=2; retire=1; signoff=pending; legacy-quota-claims=removed

Resources

发现
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版本
最新版本元数据

版本

v2026.09.24

发布时间

2026年9月24日

分类

未分类

许可证

MIT

源路径

skills/.curated/openevidence-migration-deep-dive

默认分支

main

最新提交

e5a6c3b

Tree SHA

c2dc8e8